"Deep learning models improved diagnostic accuracy by 98%, reducing time-to-diagnosis by 70%."
Healthcare
8 months development
10 AI engineers
Hospitals and clinics struggled with high diagnostic error rates and long wait times for imaging results. Manual analysis was time-consuming and prone to human error, impacting patient outcomes.
We developed a deep learning-based diagnostic platform that analyzes X-rays, MRIs, and CT scans in real time. The system flags anomalies, prioritizes urgent cases, and provides decision support to radiologists.
Image classification and segmentation
Spotting rare and subtle patterns
Automated report generation
Flagging critical cases for review
Improving with every new case
Works with existing hospital systems
Subscription model for hospitals and clinics
Discover how our AI-driven diagnostics can improve patient care and operational efficiency.